Motion artifacts reduction in wearable respiratory monitoring device

The aim of this study is to create a wearable de-vice for long-term real life respiratory monitoring as well as to investigate the possibility of using adaptive noise cancellation approach for reducing motion artifacts occurred during res-piratory signal recording. In our study wearable respiratory monitoring device have acquired respiration by using bioelec-trical impedance plethysmography and human movement with triaxial accelerometer. To achieve effective and robust motion artifacts reduction we create the respiratory signal processing method based on band-pass filtering and adaptive noise can-cellation. Performance of proposed processing technique was evaluated for the group of people that were asked to control their breathing frequency using an auditory signal from an electronic metronome during the rest and intensive physical exercises.